data set
Overview
Dataset statistics
Number of variables | 16 |
Number of observations | 1928 |
Missing cells | 1254 |
Missing cells (%) | 4.1% |
Duplicate rows | 0 |
Duplicate rows (%) | 0.0% |
Total size in memory | 241.1 KiB |
Average record size in memory | 128.1 B |
Variable types
Alerts
Reproduction
id
Real number (ℝ)
UNIQUE
Distinct | 1928 |
Distinct (%) | 100.0% |
Missing | 0 |
Missing (%) | 0.0% |
Infinite | 0 |
Infinite (%) | 0.0% |
Mean | 1264.1598 |
Minimum | 3 |
Maximum | 2544 |
Zeros | 0 |
Zeros (%) | 0.0% |
Negative | 0 |
Negative (%) | 0.0% |
Memory size | 15.2 KiB |
More details
Quantile statistics
Descriptive statistics
Histogram with fixed size bins (bins=50)
pathrise_status
Categorical
HIGH CORRELATION
Distinct | 6 |
Distinct (%) | 0.3% |
Missing | 0 |
Missing (%) | 0.0% |
Memory size | 15.2 KiB |
Placed | 956 |
Withdrawn | 398 |
Withdrawn (Trial) | 276 |
Closed Lost | 182 |
Withdrawn (Failed) | 82 |
More details
Length
Characters and Unicode
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
Sample
Common Values
Length
Histogram of lengths of the category
Common Values (Plot)
Most occurring characters
Most occurring categories
Most frequent character per category
Lowercase Letter
Uppercase Letter
Space Separator
Open Punctuation
Close Punctuation
Most occurring scripts
Most frequent character per script
Latin
Common
Most occurring blocks
Most frequent character per block
ASCII
primary_track
Categorical
Distinct | 6 |
Distinct (%) | 0.3% |
Missing | 0 |
Missing (%) | 0.0% |
Memory size | 15.2 KiB |
SWE | 1306 |
PSO | 233 |
Design | 205 |
Data | 178 |
Web | 4 |
More details
Length
Characters and Unicode
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
Sample
Common Values
Length
Histogram of lengths of the category
Common Values (Plot)
Most occurring characters
Most occurring categories
Most frequent character per category
Lowercase Letter
Uppercase Letter
Most occurring scripts
Most frequent character per script
Latin
Most occurring blocks
Most frequent character per block
ASCII
cohort_tag
Categorical
Distinct | 47 |
Distinct (%) | 2.4% |
Missing | 6 |
Missing (%) | 0.3% |
Memory size | 15.2 KiB |
JAN19A | 113 |
DEC18A | 102 |
JAN20A | 82 |
OCT18B | 72 |
OCT18A | 70 |
Other values (42) | 1483 |
More details
Length
Characters and Unicode
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
Sample
Common Values
Length
Histogram of lengths of the category
Most occurring characters
Most occurring categories
Most frequent character per category
Uppercase Letter
Decimal Number
Lowercase Letter
Most occurring scripts
Most frequent character per script
Latin
Common
Most occurring blocks
Most frequent character per block
ASCII
program_duration_days
Real number (ℝ)
ZEROS
Distinct | 411 |
Distinct (%) | 21.3% |
Missing | 0 |
Missing (%) | 0.0% |
Infinite | 0 |
Infinite (%) | 0.0% |
Mean | 136.09855 |
Minimum | 0 |
Maximum | 548 |
Zeros | 217 |
Zeros (%) | 11.3% |
Negative | 0 |
Negative (%) | 0.0% |
Memory size | 15.2 KiB |
More details
Quantile statistics
Descriptive statistics
Histogram with fixed size bins (bins=50)
placed
Categorical
HIGH CORRELATION
Distinct | 2 |
Distinct (%) | 0.1% |
Missing | 0 |
Missing (%) | 0.0% |
Memory size | 15.2 KiB |
More details
Length
Characters and Unicode
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
Sample
Common Values
Length
Histogram of lengths of the category
Common Values (Plot)
Most occurring characters
Most occurring categories
Most frequent character per category
Decimal Number
Most occurring scripts
Most frequent character per script
Common
Most occurring blocks
Most frequent character per block
ASCII
employment_status
Categorical
MISSING
Distinct | 5 |
Distinct (%) | 0.3% |
Missing | 182 |
Missing (%) | 9.4% |
Memory size | 15.2 KiB |
Student | 579 |
Unemployed | 504 |
Employed Full-Time | 329 |
Employed Part-Time | 199 |
Contractor | 135 |
More details
Length
Characters and Unicode
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
Sample
Common Values
Length
Histogram of lengths of the category
Common Values (Plot)
Most occurring characters
Most occurring categories
Most frequent character per category
Lowercase Letter
Uppercase Letter
Space Separator
Dash Punctuation
Most occurring scripts
Most frequent character per script
Latin
Common
Most occurring blocks
Most frequent character per block
ASCII
highest_level_of_education
Categorical
MISSING
Distinct | 7 |
Distinct (%) | 0.4% |
Missing | 42 |
Missing (%) | 2.2% |
Memory size | 15.2 KiB |
Bachelor's Degree | 1036 |
Master's Degree | 605 |
Doctorate or Professional Degree | 104 |
Some College, No Degree | 102 |
GED or equivalent | 14 |
Other values (2) | 25 |
More details
Length
Characters and Unicode
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
Sample
Common Values
Length
Histogram of lengths of the category
Common Values (Plot)
Most occurring characters
Most occurring categories
Most frequent character per category
Lowercase Letter
Uppercase Letter
Other Punctuation
Space Separator
Most occurring scripts
Most frequent character per script
Latin
Common
Most occurring blocks
Most frequent character per block
ASCII
length_of_job_search
Categorical
MISSING
Distinct | 5 |
Distinct (%) | 0.3% |
Missing | 66 |
Missing (%) | 3.4% |
Memory size | 15.2 KiB |
Less than one month | 621 |
1-2 months | 610 |
3-5 months | 372 |
6 months to a year | 171 |
Over a year | 88 |
More details
Length
Characters and Unicode
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
Sample
Common Values
Length
Histogram of lengths of the category
Common Values (Plot)
Most occurring characters
Most occurring categories
Most frequent character per category
Lowercase Letter
Decimal Number
Uppercase Letter
Space Separator
Dash Punctuation
Most occurring scripts
Most frequent character per script
Latin
Common
Most occurring blocks
Most frequent character per block
ASCII
biggest_challenge_in_search
Categorical
MISSING
Distinct | 10 |
Distinct (%) | 0.5% |
Missing | 20 |
Missing (%) | 1.0% |
Memory size | 15.2 KiB |
Hearing back on my applications | 737 |
Getting past final round interviews | 234 |
Technical interviewing | 224 |
Lack of relevant experience | 175 |
Getting past mid-stage interviews | 160 |
Other values (5) | 378 |
More details
Length
Characters and Unicode
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
Sample
Common Values
Length
Histogram of lengths of the category
Common Values (Plot)
Most occurring characters
Most occurring categories
Most frequent character per category
Lowercase Letter
Uppercase Letter
Space Separator
Dash Punctuation
Most occurring scripts
Most frequent character per script
Latin
Common
Most occurring blocks
Most frequent character per block
ASCII
professional_experience
Categorical
MISSING
Distinct | 4 |
Distinct (%) | 0.2% |
Missing | 161 |
Missing (%) | 8.4% |
Memory size | 15.2 KiB |
1-2 years | 640 |
Less than one year | 478 |
3-4 years | 444 |
5+ years | 205 |
More details
Length
Characters and Unicode
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
Sample
Common Values
Length
Histogram of lengths of the category
Common Values (Plot)
Most occurring characters
Most occurring categories
Most frequent character per category
Lowercase Letter
Decimal Number
Space Separator
Dash Punctuation
Uppercase Letter
Math Symbol
Most occurring scripts
Most frequent character per script
Latin
Common
Most occurring blocks
Most frequent character per block
ASCII
work_authorization_status
Categorical
MISSING
Distinct | 9 |
Distinct (%) | 0.5% |
Missing | 221 |
Missing (%) | 11.5% |
Memory size | 15.2 KiB |
Citizen | 831 |
F1 Visa/OPT | 488 |
Green Card | 142 |
F1 Visa/CPT | 97 |
Other | 82 |
Other values (4) | 67 |
More details
Length
Characters and Unicode
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
Sample
Common Values
Length
Histogram of lengths of the category
Common Values (Plot)
Most occurring characters
Most occurring categories
Most frequent character per category
Uppercase Letter
Lowercase Letter
Space Separator
Decimal Number
Other Punctuation
Most occurring scripts
Most frequent character per script
Latin
Common
Most occurring blocks
Most frequent character per block
ASCII
number_of_interviews
Real number (ℝ)
MISSING ZEROS
Distinct | 20 |
Distinct (%) | 1.1% |
Missing | 172 |
Missing (%) | 8.9% |
Infinite | 0 |
Infinite (%) | 0.0% |
Mean | 2.2038724 |
Minimum | 0 |
Maximum | 20 |
Zeros | 579 |
Zeros (%) | 30.0% |
Negative | 0 |
Negative (%) | 0.0% |
Memory size | 15.2 KiB |
More details
Quantile statistics
Descriptive statistics
Histogram with fixed size bins (bins=20)
number_of_applications
Real number (ℝ)
ZEROS
Distinct | 40 |
Distinct (%) | 2.1% |
Missing | 0 |
Missing (%) | 0.0% |
Infinite | 0 |
Infinite (%) | 0.0% |
Mean | 36.685166 |
Minimum | 0 |
Maximum | 1000 |
Zeros | 55 |
Zeros (%) | 2.9% |
Negative | 0 |
Negative (%) | 0.0% |
Memory size | 15.2 KiB |
More details
Quantile statistics
Descriptive statistics
Histogram with fixed size bins (bins=40)
gender
Categorical
IMBALANCE MISSING
Distinct | 4 |
Distinct (%) | 0.3% |
Missing | 371 |
Missing (%) | 19.2% |
Memory size | 15.2 KiB |
Male | 1134 |
Female | 410 |
Decline to Self Identify | 10 |
Non-Binary | 3 |
More details
Length
Characters and Unicode
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
Sample
Common Values
Length
Histogram of lengths of the category
Common Values (Plot)
Most occurring characters
Most occurring categories
Most frequent character per category
Lowercase Letter
Uppercase Letter
Space Separator
Dash Punctuation
Most occurring scripts
Most frequent character per script
Latin
Common
Most occurring blocks
Most frequent character per block
ASCII
race
Categorical
Distinct | 9 |
Distinct (%) | 0.5% |
Missing | 13 |
Missing (%) | 0.7% |
Memory size | 15.2 KiB |
East Asian or Asian American | 703 |
South Asian or Indian American | 420 |
Non-Hispanic White or Euro-American | 414 |
Latino or Hispanic American | 119 |
Black, Afro-Caribbean, or African American | 91 |
Other values (4) | 168 |
More details
Length
Characters and Unicode
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
Sample
Common Values
Length
Histogram of lengths of the category
Common Values (Plot)
Most occurring characters
Most occurring categories
Most frequent character per category
Lowercase Letter
Uppercase Letter
Space Separator
Dash Punctuation
Other Punctuation
Most occurring scripts
Most frequent character per script
Latin
Common
Most occurring blocks
Most frequent character per block
ASCII
Auto
Heatmap
Table
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
| id | pathrise_status | primary_track | cohort_tag | program_duration_days | placed | employment_status | highest_level_of_education | length_of_job_search | biggest_challenge_in_search | professional_experience | work_authorization_status | number_of_interviews | number_of_applications | gender | race |
0 | 3 | Closed Lost | Design | AUG19B | 0.0 | 0 | Employed Part-Time | Master's Degree | Less than one month | Figuring out which jobs to apply for | Less than one year | Citizen | 0.0 | 0 | Male | East Asian or Asian American |
1 | 4 | Closed Lost | PSO | AUG19B | 0.0 | 0 | Contractor | Bachelor's Degree | Less than one month | Getting past final round interviews | Less than one year | Citizen | 5.0 | 25 | Male | Decline to Self Identify |
2 | 5 | Placed | SWE | AUG19A | 89.0 | 1 | Unemployed | Bachelor's Degree | 1-2 months | Hearing back on my applications | 1-2 years | F1 Visa/OPT | 10.0 | 100 | Male | East Asian or Asian American |
3 | 6 | Closed Lost | SWE | AUG19A | 0.0 | 0 | Employed Full-Time | Master's Degree | 1-2 months | Technical interviewing | 3-4 years | Green Card | 5.0 | 100 | Male | East Asian or Asian American |
4 | 7 | Closed Lost | SWE | AUG19B | 0.0 | 0 | Employed Full-Time | Master's Degree | Less than one month | Getting past phone screens | 3-4 years | Green Card | 0.0 | 9 | Male | Black, Afro-Caribbean, or African American |
5 | 8 | Withdrawn (Failed) | SWE | AUG19A | 19.0 | 0 | Employed Part-Time | Bachelor's Degree | Less than one month | Getting past final round interviews | 1-2 years | Citizen | 4.0 | 15 | Female | Latino or Hispanic American |
6 | 10 | Withdrawn (Trial) | SWE | SEP19A | 13.0 | 0 | Employed Full-Time | Master's Degree | Less than one month | Getting past final round interviews | 3-4 years | Citizen | 0.0 | 10 | Male | Black, Afro-Caribbean, or African American |
7 | 11 | Closed Lost | PSO | AUG19B | 0.0 | 0 | Unemployed | Master's Degree | 1-2 months | Hearing back on my applications | 1-2 years | Other | 0.0 | 3 | Male | Latino or Hispanic American |
8 | 12 | Withdrawn | Data | AUG19C | 158.0 | 0 | Unemployed | Master's Degree | 3-5 months | Lack of relevant experience | 5+ years | Citizen | 5.0 | 50 | Male | Decline to Self Identify |
9 | 13 | Withdrawn (Trial) | Design | OCT19A | 12.0 | 0 | Contractor | Bachelor's Degree | 6 months to a year | Getting past phone screens | 1-2 years | Green Card | 3.0 | 10 | Male | Middle Eastern or Arab American |
Report generated by YData.